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AI For Research: Pl@NtNet - Unlocking Plant Biodiversity Through Citizen Science
AI for research is revolutionizing fields like biology and ecology, and tools like Pl@NtNet are leading the charge. This innovative platform utilizes AI assistants to empower users with plant identification capabilities through simple picture uploads. More than just a tool, Pl@NtNet fosters a thriving citizen science project dedicated to understanding and preserving plant biodiversity. By contributing their observations, users become active participants in this vital research effort, promoting environmental responsibility while gaining valuable knowledge about the natural world. With a vast database of over 10,000 identified plant species and 320 million identification requests analyzed, Pl@NtNet provides an invaluable resource for both enthusiasts and researchers. Its offline functionality further enhances accessibility, allowing for plant identification even without an internet connection. For academic research, Pl@NtNet offers a rich dataset perfect for training machine learning models, pushing the boundaries of plant identification technology and contributing to a deeper understanding of our planet's flora.
Pricing
Pricing:
Pricing Plans:
Pl@ntNet offers a free plan with limited features, and paid plans for individuals or organizations needing more identifications. The "Pay as you go" model charges based on the volume of plant identifications required, decreasing in price per 1000 identifications as usage increases. Non-profit organizations can contact Pl@ntNet for a customized pricing plan. The paid plans include features like higher identification limits per day, burst usage options, and support for over 50 languages.Here's a summary of the key points:Free Plan: Limited identifications, basic features. Pay-As-You-Go: Prices decrease per 1000 identifications with increased volume. Non-Profits: Customized pricing plans available upon request. Paid Plans Features: Higher identification limits, burst usage, over 50 language support.
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